원문정보
초록
영어
This paper proposes a vehicle-positioning improvement algorithm that utilizes positioning data collected from budget GPS devices and vehicle data obtained from ODB devices and relays the information via WAVE communications between cars. Data from both sender and recipient vehicles are matched with Procrustes analysis based on the location in-formation of the other car. The corrected location data is used in order to calculate the distance be-tween the two cars. By using commercial lane-detection technology, the distance between the cars and each lane can also be calculated with the calibrated location data. The difference between the cars’ video-estimated distance and GPS data can be used to improve vehicle-location correction algorithms.
목차
1. Introduction
2. Obtaining Information from a Nearby Car
2.1. Predicting a Distance between Two Cars by Vision Information
2.2. Estimating Vehicle Distances and Angles using WAVE Information
3. Improving Positional Data based On the Other Car’s GPS Information
3.1. Procrustes Analysis
3.2. Minimizing Error Using Least-Squares Method
3.3 Using Nearby-Vehicle Video Information to Improve Position Accuracy
4. Road Test Organization and Results
4.1. System Composition
4.2. Experiment reSults
5. Conclusion
References